Paper Citation Record · LEDGER

Efficient parameter inference for gravitational wave signals in the presence of transient noises using temporal and time-spectral fusion normalizing flow

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2312.08122.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2312.08122 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:43:28.039228Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-21T03:33:56.160412Z

Reference resolution

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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 494e9c3f-e7df-4367-a965-9fa3ef468ec2 · inbound

Joint inference for gravitational wave signals and glitches using a data-informed glitch model cites this paper.

Joint inference for gravitational wave signals and glitches using a data-informed glitch model Efficient parameter inference for gravitational wave signals in the presence of transient noises using temporal and time-spectral fusion normalizing flow

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-16T04:43:28.039228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37121ca0-07ca-42d6-b055-13d89c6ac5f1 · inbound

Parameter inference of millilensed gravitational waves using neural spline flows cites this paper.

Parameter inference of millilensed gravitational waves using neural spline flows Efficient parameter inference for gravitational wave signals in the presence of transient noises using temporal and time-spectral fusion normalizing flow

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-19T13:22:18.666997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 43046a36-ba3b-4dab-85bd-06d830b32bfb · inbound

Robust parameter inference for Taiji via time-frequency contrastive learning and normalizing flows cites this paper.

Robust parameter inference for Taiji via time-frequency contrastive learning and normalizing flows Efficient parameter inference for gravitational wave signals in the presence of transient noises using temporal and time-spectral fusion normalizing flow

Reference 112

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:45:23.949724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4b86989a-4e92-4c34-a928-9349e3c487a9 · inbound

Contrastive self-supervised convolutional autoencoder for core-collapse supernova gravitational-wave detection cites this paper.

Contrastive self-supervised convolutional autoencoder for core-collapse supernova gravitational-wave detection Efficient parameter inference for gravitational wave signals in the presence of transient noises using temporal and time-spectral fusion normalizing flow

Reference 132

Resolution: verified exact; arxiv_id, observed 2026-05-21T03:33:56.162187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5d348fbf-50ed-4da6-b457-78cfbce1575e · inbound

Identifying lensed gravitational waves with physics-informed posterior learning cites this paper.

Identifying lensed gravitational waves with physics-informed posterior learning Efficient parameter inference for gravitational wave signals in the presence of transient noises using temporal and time-spectral fusion normalizing flow

Reference 129

Resolution: unresolved; no resolver link, observed 2026-07-11T23:16:00.672720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f78fad18-a072-4917-aa72-137e99efc84f · inbound

Unified remnant models for aligned-spin, precessing, and eccentric binary black hole mergers cites this paper.

Unified remnant models for aligned-spin, precessing, and eccentric binary black hole mergers Efficient parameter inference for gravitational wave signals in the presence of transient noises using temporal and time-spectral fusion normalizing flow

Reference 137

Resolution: unresolved; no resolver link, observed 2026-08-06T00:42:43.474282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.